by Harvey Motulsky
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Editorial Reviews
Product Description
The Biostatistics course is often found in the schools of public Health, medical schools, and, occasionally, in statistics and biology departments.
The population of students in these courses is a diverse one, with varying preparedness. The book assumes the reader has at least two years of high school algebra, but no previous exposure to statistics is required.
Written for individuals who might be fearful of mathematics, this book minimizes the technical difficulties and emphasizes the importance of statistics in scientific investigation. An understanding of underlying design and analysis is stressed. The limitations of the research, design and analytical techniques are discussed, allowing the reader to accurately interpret results. Real data, both processed and raw, are used extensively in examples and exercises. Statistical computing packages - MINITAB, SAS and Stata - are integrated. The use of the computer and software allows a sharper focus on the concepts, letting the computer do the necessary number-crunching.
* Emphasizes underlying statistical concepts more than competing texts
* Focuses on experimental design and analysis, at an elementary level
* Includes an introduction to linear correlation and regression
* Statistics are central: probability is downplayed
* Presents life tables and survival analysis
* Appendix with solutions to many exercises
* Special instructor's manual with solution to all exercises
The Biostatistics course is often found in the schools of public Health, medical schools, and, occasionally, in statistics and biology departments.
The population of students in these courses is a diverse one, with varying preparedness. The book assumes the reader has at least two years of high school algebra, but no previous exposure to statistics is required.
Written for individuals who might be fearful of mathematics, this book minimizes the technical difficulties and emphasizes the importance of statistics in scientific investigation. An understanding of underlying design and analysis is stressed. The limitations of the research, design and analytical techniques are discussed, allowing the reader to accurately interpret results. Real data, both processed and raw, are used extensively in examples and exercises. Statistical computing packages - MINITAB, SAS and Stata - are integrated. The use of the computer and software allows a sharper focus on the concepts, letting the computer do the necessary number-crunching.
* Emphasizes underlying statistical concepts more than competing texts
* Focuses on experimental design and analysis, at an elementary level
* Includes an introduction to linear correlation and regression
* Statistics are central: probability is downplayed
* Presents life tables and survival analysis
* Appendix with solutions to many exercises
* Special instructor's manual with solution to all exercises
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Inside This Book
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First Sentence:
Biostatistics is the application of statistical methods to the biological and life sciences. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
opinion about mammography, someone with breast cancer, ttest command, continuity correction term, smoke variable, systolic blood pressure data, systolic blood pressure values, linear model representation, percent prediction interval, regress command, rth level, family error rate, normal scores plot, cumulative survival probability, trimester prenatal care, predict command, blood pressure variable, standard normal value, rejection region, pth percentile, abridged life table, set obs, percent confidence interval, graph command, digit preference Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, New York, Public Health Service, Nutrition Monitoring, Appendix Table, Government Printing Office, Midpoint Count, Prevention Profile, Public Citizen Health Research Group, Regular Care, Stepped Care, Group Health Lett, Life Sciences Research Office, West Germany, American Indians, Bureau of the Census, California Tumor Registry, Fit Stdev, Great Britain, State Fatality, Unknown Trimester, Cancer Inst, Cornell University, Division of Nutritional Sciences, Examination of Table New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Biostatistics is the application of statistical methods to the biological and life sciences. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
opinion about mammography, someone with breast cancer, ttest command, continuity correction term, smoke variable, systolic blood pressure data, systolic blood pressure values, linear model representation, percent prediction interval, regress command, rth level, family error rate, normal scores plot, cumulative survival probability, trimester prenatal care, predict command, blood pressure variable, standard normal value, rejection region, pth percentile, abridged life table, set obs, percent confidence interval, graph command, digit preference Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, New York, Public Health Service, Nutrition Monitoring, Appendix Table, Government Printing Office, Midpoint Count, Prevention Profile, Public Citizen Health Research Group, Regular Care, Stepped Care, Group Health Lett, Life Sciences Research Office, West Germany, American Indians, Bureau of the Census, California Tumor Registry, Fit Stdev, Great Britain, State Fatality, Unknown Trimester, Cancer Inst, Cornell University, Division of Nutritional Sciences, Examination of Table New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 21
books:
See all 21 books this book cites
1
book
cites this book:
- Statistical Methods for Survival Data Analysis (Wiley Series in Probability and Statistics) by Elisa T. Lee on page 92, page 231, and page 346
- Categorical Data by Koch on page 318, and page 407
- Logistic Regression: A Self-Learning Text by David G. Kleinbaum on page 420, and Back Matter
- Applied Regression Analysis and Multivariable Methods by David G. Kleinbaum on page 406, and Back Matter
- Statistical Methods by George W. Snedecor on page 92
See all 21 books this book cites
- Math & Bio 2010: Linking Undergraduate Disciplines by Lynn Arthur Steen in Back Matter
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